Prediction Model of Microvascular Ischemic Ocular Motor Nerve Palsy and Inflammatory Ocular Motor Nerve Palsy in Chinese Patients
Prediction Model of Microvascular Ischemic Ocular Motor Nerve Palsy and Inflammatory Ocular Motor Nerve Palsy in Chinese Patients
This study aimed to train and validate deep learning systems (DLS) to differentiate between microvascular ischemic ocular motor nerve palsy (v-OMNP) and inflammatory ocular motor nerve palsy (i-OMNP). The method involves using clearly diagnosed v-OMNP and i-OMNP patients from the Department of Neurology database at Beijing Tongren Hospital for further DLS validation, aiding in the differential diagnosis of the aforementioned diseases.
The diagnosis of disease is the outcome of the study. The inclusion criteria and exclusion criteria were as follows:
Inclusion Criteria:
Patients with acute bilateral diplopia within 1 week of onset at admission.
1. Ischemic Group:
2. Inflammatory Group:
Exclusion Criteria:
1. Ocular muscle palsy confirmed to be caused by tumors, trauma, infections, stroke, carotid-cavernous fistula, aneurysms, neuromuscular junction disorders, thyroid-related eye diseases, and hereditary diseases at onset or during follow-up.
2. Presence of other neurological signs in addition to ocular muscle palsy. 3. Severe systemic diseases of the heart, liver, or kidneys, as well as psychiatric and mental illness.
4. Pregnant or breastfeeding patients. 5. Patients who did not undergo gadolinium-enhanced MRI of the cavernous sinus. 6. Patients younger than 18 years at the time of enrollment. 7. Onset of symptoms more than 1 week before admission. 8. Incomplete data or follow-up period less than 6 months. 9. Disagreements in disease diagnosis.